Continuous data streams are ubiquitous and represent such a high volume of data that they cannot be stored to disk, yet it is often crucial for them to be analyzed in real-time. Stream processing is a programming paradigm that processes these immediately, and enables continuous analytics. Our objective is to make it easier for analysts, with little programming experience, to develop continuous analytics applications directly. We propose enhancing a spreadsheet, a pervasive tool, to obtain a programming platform for stream processing. We present the design and implementation of an enhanced spreadsheet that enables visualizing live streams, live programming to compute new streams, and exporting computations to be run on a server where they can be shared with other users, and persisted beyond the life of the spreadsheet.
I am a Research Staff Member at Thomas J. Watson Research Center, IBM, Hawthorne, NY USA.
Thu 29 Oct
|15:30 - 16:15|
Markus Völteritemis, GermanyLink to publication Media Attached
|16:15 - 17:00|
Mandana VaziriIBM Thomas J. Watson Research Center